A substitutional quantum defect in WS$_2$ discovered by high-throughput computational screening and fabricated by site-selective STM manipulation
John C. Thomas, Wei Chen, Yihuang Xiong, Bradford A. Barker, Junze, Zhou, Weiru Chen, Antonio Rossi, Nolan Kelly, Zhuohang Yu, Da Zhou, Shalini, Kumari, Edward S. Barnard, Joshua A. Robinson, Mauricio Terrones, Adam, Schwartzberg, D. Frank Ogletree, Eli Rotenberg

TL;DR
This study combines high-throughput computational screening and STM fabrication to identify and create a promising new quantum defect in WS$_2$, advancing quantum information applications.
Contribution
It introduces a systematic high-throughput computational approach to discover quantum defects and demonstrates their experimental realization via site-selective STM manipulation.
Findings
Identification of Co$_{ m S}^{0}$ as a promising quantum defect
Agreement between STM measurements and first-principles calculations
Demonstration of defect fabrication using STM techniques
Abstract
Point defects in two-dimensional materials are of key interest for quantum information science. However, the space of possible defects is immense, making the identification of high-performance quantum defects extremely challenging. Here, we perform high-throughput (HT) first-principles computational screening to search for promising quantum defects within WS, which present localized levels in the band gap that can lead to bright optical transitions in the visible or telecom regime. Our computed database spans more than 700 charged defects formed through substitution on the tungsten or sulfur site. We found that sulfur substitutions enable the most promising quantum defects. We computationally identify the neutral cobalt substitution to sulfur (Co) as very promising and fabricate it with scanning tunneling microscopy (STM). The Co electronic structure…
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Taxonomy
TopicsMachine Learning in Materials Science · Neural Networks and Reservoir Computing · Semiconductor Quantum Structures and Devices
